Applied Researcher - Macro

MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers

MEI is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentations, global thought leadership, media participation, and commercial work through the company's product suites

We are looking for a macroeconomist to join the Applied Research team at the Mastercard Economics Institute. The Applied Research team is at the forefront of innovations to our Economics products and insights. In this role you will deliver macroeconomic insights using our rich, multi-faceted datasets, and apply macroeconometric and machine learning tools to develop and maintain our suite of macroeconomic models.

Key responsibilities
• Lead the team's macroeconometric research agenda and deliverables
• Build, backtest, validate, and monitor our macroeconomic models, including macro scenarios, and communicating the results to key stakeholders
• Research and implement innovative econometric and machine learning tools for forecasting, impact evaluation and index creation
• Work closely with other researchers and data scientists to guide usage of macroeconomic features, models and forecasts
• Continuously partner with other researchers and data scientists
• Partner with data scientists and engineers to deploy models to production

About you
• Creative & passionate about research, economics, data, technology, and its applications, with an entrepreneurial mindset
• Strong foundation in macroeconomic modeling approaches and demonstrated success in working with big data
• Experience with spatial modeling or mixed-frequency time series is a plus
• Expertise in one or more of Python, R, Julia, C++ or similar languages
• Experience in SQL and big data frameworks (Spark, Hadoop, Hive) is preferred
• Experience in time series forecasting, factor models, Bayesian econometrics and/or machine learning forecasting
• Ph.D. or Master's in Economics or in a quantitative field with experience in macroeconomic modeling
• Strong collaborator and independent thinker
• Evidence of creativity/innovation/unorthodox thinking in data-driven economics

#AI2

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges
Arlington, Virginia: $137,000 - $218,000 USD

Boston, Massachusetts: $137,000 - $219,000 USD

Chicago, Illinois: $119,000 - $190,000 USD

Purchase, New York: $137,000 - $219,000 USD